{"id":"W6938823515","doi":"10.6068/dp14ba8bcda7e26","title":"Trend 2006 - 2013. Statistics Canada. CANSIM: Ethnic Diversity and Immigration - Labor Market and Income | Country: Canada | Table: Labour force survey estimates (LFS), by immigrant status, educational attainment, sex and age group | Variable: 15 years and over, Unemployment rate, No degree, certificate or diploma, Males, Landed immigrants | Units: , 2006-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-094.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Unemployment; Official statistics; Socioeconomic status; Descriptive statistics; Census; Population; Ethnic group; Diversity (politics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002677343,0.00252399,0.002920085,0.007744756,0.003336546,0.004855841,0.005590657,0.001479045,0.09675692],"category_scores_gemma":[0.0185711,0.00201841,0.002419779,0.03738402,0.0005908135,0.002400764,0.002475981,0.003326199,0.05259136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05111413,"about_ca_system_score_gemma":0.137566,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9945187,"about_ca_topic_score_gemma":0.9924996,"domain_scores_codex":[0.9953139,0.0003484182,0.0005387439,0.0005499675,0.002135743,0.001113264],"domain_scores_gemma":[0.9650945,0.001201236,0.001056463,0.0009789233,0.02988405,0.00178485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003127485,0.000008774282,0.001173176,0.0002516421,0.00002350584,0.000006842377,0.00002476284,0.00009630273,0.00001002136,0.00030873,0.9962122,0.001852574],"study_design_scores_gemma":[0.0002454121,0.00001988721,0.0360903,0.001218615,0.0000999726,0.00003400735,0.0006098836,0.0005339413,0.0002155476,0.0007777677,0.9600456,0.0001090161],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006573559,0.0000513808,0.0000267574,0.0001340974,0.00003781446,0.00002233429,0.9986567,0.00005774057,0.0009472735],"genre_scores_gemma":[0.0008748601,0.0002956939,0.0004643676,0.0002192531,0.00002472216,0.0001890552,0.9920833,0.0001371694,0.005711628],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09675692,"threshold_uncertainty_score":0.3708608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04145258425541808,"score_gpt":0.2655988424998428,"score_spread":0.2241462582444247,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}